hectorLop/Conditional-Adversarial-Domain-Generalization-with-Single-Discriminator
Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnosis"
This tool helps maintenance engineers and operations managers diagnose bearing faults in machinery, even when the data comes from different operating conditions or sensor setups. You provide historical vibration data and corresponding fault labels, and it produces a model that can identify bearing issues like inner race, outer race, or roller faults across various operational environments. This is particularly useful for industrial settings where machines operate under diverse and changing conditions.
No commits in the last 6 months.
Use this if you need to build a robust fault diagnosis system for industrial bearings that can generalize well to new, unseen operating conditions without needing to retrain a new model for each specific scenario.
Not ideal if you are looking for a general-purpose anomaly detection tool or if your fault diagnosis problem does not involve domain shift challenges across different operational environments.
Stars
40
Forks
6
Language
Python
License
MIT
Category
Last pushed
Jan 13, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/hectorLop/Conditional-Adversarial-Domain-Generalization-with-Single-Discriminator"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related models
lucasmansilla/DGvGS
Domain Generalization via Gradient Surgery
PrasannaPulakurthi/SPM
Shuffle PatchMix (SPM) for Source-Free Domain Adaptation (ICIP 2025); patch-shuffle augmentation...
SakurajimaMaiii/TSD
[CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation
yasserben/DATUM
[CVPR-W 2023] Official Implementation of One-shot Unsupervised Domain Adaptation with...
mousecpn/DMC-Domain-Generalization-for-Underwater-Object-Detection
[Neurocomputing 2023] An official implementation of Achieving Domain Generalization in...